The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-10-03"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "34902647 (up from 34582698 yesterday: 0.93 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "1033177 (up from 1027827 yesterday: 0.52 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 6143611

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 2.96



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 7382341 50044 0.68 897127 209384 687 0.33 2.84
India 6549373 75829 1.17 1795017 101782 940 0.93 1.55
Brazil 4906833 59741 1.23 591146 145987 1307 0.90 2.98
Russia 1198663 9735 0.82 145000 21153 172 0.82 1.76
Colombia 848147 6615 0.79 139183 26556 159 0.60 3.13
Peru 821564 3267 0.40 104894 32609 74 0.23 3.97
Argentina 790818 11129 1.43 244337 20795 196 0.95 2.63
Spain 789932 0 0.00 223606 32086 0 0.00 4.06
Mexico 757953 4863 0.65 93980 78880 388 0.49 10.41
South Africa 679716 1883 0.28 31502 16938 29 0.17 2.49
France 629509 78 0.01 226698 32171 0 0.00 5.11
United Kingdom 482654 12885 2.74 115062 42407 49 0.12 8.79
Chile 468471 1881 0.40 35805 12919 52 0.40 2.76
Iran 468119 3523 0.76 68179 26746 179 0.67 5.71
Iraq 375931 3672 0.99 89153 9347 49 0.53 2.49
Bangladesh 367565 1182 0.32 31521 5325 20 0.38 1.45
Saudi Arabia 335997 419 0.12 10947 4850 27 0.56 1.44
Turkey 323014 1502 0.47 33379 8384 59 0.71 2.60
Italy 322751 2843 0.89 36454 35968 27 0.08 11.14
Philippines 319330 2652 0.84 61467 5678 62 1.10 1.78
Pakistan 314616 632 0.20 13135 6513 6 0.09 2.07
Germany 300027 1653 0.55 39210 9531 13 0.14 3.18
Indonesia 299506 4007 1.36 84760 11055 83 0.76 3.69
Israel 264443 5523 2.13 111721 1682 49 3.00 0.64
Ukraine 228161 4785 2.14 72603 4451 94 2.16 1.95
Canada 166360 1306 0.79 28196 9488 22 0.23 5.70
Ecuador 140351 817 0.59 23900 11597 102 0.89 8.26
Netherlands 137194 4028 3.02 52485 6503 21 0.32 4.74
Bolivia 136569 350 0.26 10587 8073 28 0.35 5.91
Romania 134065 2064 1.56 31679 4947 32 0.65 3.69
Morocco 131228 2663 2.07 46793 2293 30 1.33 1.75
Belgium 127623 3389 2.73 35145 10044 7 0.07 7.87
Qatar 126339 175 0.14 4816 216 1 0.47 0.17
Panama 114653 691 0.61 13612 2414 8 0.33 2.11
Dominican Republic 113926 576 0.51 10834 2128 11 0.52 1.87
Kazakhstan 108177 71 0.07 1374 1725 0 0.00 1.59
Kuwait 106458 371 0.35 12247 620 5 0.81 0.58
Egypt 103575 109 0.11 2719 5970 14 0.24 5.76
Oman 98585 0 0.00 10248 935 0 0.00 0.95
Poland 98140 2367 2.47 24490 2604 34 1.32 2.65
United Arab Emirates 97760 1231 1.28 18911 426 2 0.47 0.44
Sweden 94283 0 0.00 7778 5895 0 0.00 6.25
Guatemala 93748 658 0.71 12090 3285 18 0.55 3.50
China 90604 20 0.02 436 4739 0 0.00 5.23
Japan 85345 577 0.68 10139 1594 3 0.19 1.87
Nepal 84570 2120 2.57 31450 528 8 1.54 0.62
Czechia 80605 2554 3.27 45204 711 12 1.72 0.88
Belarus 79852 431 0.54 5877 851 7 0.83 1.07
Costa Rica 79182 1353 1.74 23728 950 20 2.15 1.20
Honduras 78788 519 0.66 11652 2399 13 0.54 3.04
Portugal 78247 963 1.25 14937 1995 12 0.61 2.55
Ethiopia 77860 872 1.13 13972 1214 6 0.50 1.56
Venezuela 77646 826 1.08 18016 649 6 0.93 0.84
Bahrain 72310 507 0.71 12724 258 3 1.18 0.36
Nigeria 59287 160 0.27 3110 1113 1 0.09 1.88
Uzbekistan 58238 784 1.36 11517 477 5 1.06 0.82
Singapore 57800 6 0.01 443 27 0 0.00 0.05
Moldova 55888 872 1.58 13174 1353 9 0.67 2.42
Switzerland 54384 0 0.00 7680 2076 1 0.05 3.82
Algeria 51995 148 0.29 3988 1756 7 0.40 3.38
Armenia 51925 543 1.06 6250 972 6 0.62 1.87
Austria 47432 1058 2.28 14736 809 6 0.75 1.71
Kyrgyzstan 47184 128 0.27 2356 1066 1 0.09 2.26
Ghana 46803 109 0.23 1369 303 2 0.66 0.65
Lebanon 43494 1321 3.13 19825 398 12 3.11 0.92
Paraguay 43452 768 1.80 16128 913 23 2.58 2.10
West Bank and Gaza 41078 312 0.77 11172 329 8 2.49 0.80
Azerbaijan 40561 108 0.27 2389 595 1 0.17 1.47
Afghanistan 39297 7 0.02 656 1462 4 0.27 3.72
Kenya 39184 261 0.67 3215 728 3 0.41 1.86
Ireland 37668 605 1.63 6938 1810 9 0.50 4.81
Libya 36087 370 1.04 13739 578 8 1.40 1.60
Serbia 33842 107 0.32 1542 753 2 0.27 2.23
Denmark 29789 371 1.26 9800 654 2 0.31 2.20
Hungary 29717 1086 3.79 17892 812 14 1.75 2.73
El Salvador 29358 183 0.63 2507 857 4 0.47 2.92
Bosnia and Herzegovina 27975 0 0.00 4837 871 0 0.00 3.11
Australia 27135 14 0.05 484 894 1 0.11 3.29
Korea, South 24091 64 0.27 1915 421 1 0.24 1.75
Bulgaria 21518 182 0.85 3627 841 3 0.36 3.91
Tunisia 20944 1223 6.20 14309 276 5 1.85 1.32
Cameroon 20924 0 0.00 915 420 0 0.00 2.01
Cote d’Ivoire 19849 56 0.28 933 120 0 0.00 0.60
Greece 19613 267 1.38 6577 405 7 1.76 2.06
North Macedonia 18602 239 1.30 2908 753 4 0.53 4.05
Croatia 17401 241 1.40 4033 293 2 0.69 1.68
Madagascar 16529 36 0.22 792 232 0 0.00 1.40
Burma 16503 978 6.30 13707 371 18 5.10 2.25
Senegal 15068 17 0.11 831 312 0 0.00 2.07
Zambia 14974 144 0.97 1508 333 0 0.00 2.22
Jordan 14749 1099 8.05 11687 88 9 11.39 0.60
Norway 14362 78 0.55 2283 275 0 0.00 1.91
Albania 14117 152 1.09 2932 392 3 0.77 2.78
Sudan 13653 0 0.00 183 836 0 0.00 6.12
Kosovo 12683 0 0.00 0 488 0 0.00 3.85
Slovakia 12321 704 6.06 6868 54 0 0.00 0.44
Malaysia 12088 317 2.69 2220 137 1 0.74 1.13
Montenegro 11934 244 2.09 5404 174 2 1.16 1.46
Namibia 11572 92 0.80 1968 123 0 0.00 1.06
Congo (Kinshasa) 10752 23 0.21 367 274 2 0.74 2.55
Guinea 10735 0 0.00 715 66 0 0.00 0.61
Maldives 10465 67 0.64 1413 34 0 0.00 0.32
Finland 10391 147 1.43 1834 345 0 0.00 3.32

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 829521 3508 0.42 70588 16115 61 0.38 1.94 20994.04 407.85 1 in 48
Texas 787425 5119 0.65 109709 16295 71 0.44 2.07 27156.44 561.98 1 in 37
Florida 714591 2787 0.39 53020 14628 74 0.51 2.05 33271.24 681.08 1 in 30
New York 463360 1731 0.37 19720 33197 -2 -0.01 7.16 23818.78 1706.47 1 in 42
Georgia 322169 1535 0.48 29264 7133 27 0.38 2.21 30343.43 671.82 1 in 33
Illinois 302782 2442 0.81 40783 9023 31 0.34 2.98 23894.12 712.05 1 in 42
Arizona 220399 636 0.29 12271 5705 12 0.21 2.59 28943.15 749.19 1 in 35
North Carolina 216886 2202 1.03 33148 3629 21 0.58 1.67 20679.28 346.01 1 in 48
New Jersey 207576 947 0.46 11239 16135 4 0.02 7.77 23369.91 1816.56 1 in 43
Tennessee 199595 1192 0.60 28704 2560 45 1.79 1.28 29209.71 374.64 1 in 34
Louisiana 167401 0 0.00 11227 5545 0 0.00 3.31 36009.55 1192.78 1 in 28
Pennsylvania 166238 0 0.00 17603 8180 18 0.22 4.92 12985.33 638.96 1 in 77
Alabama 158380 1682 1.07 20734 2558 8 0.31 1.62 32301.45 521.70 1 in 31
Ohio 157966 1157 0.74 21398 4925 20 0.41 3.12 13513.96 421.33 1 in 74
South Carolina 150891 1706 1.14 20913 3442 33 0.97 2.28 29306.54 668.52 1 in 34
Virginia 150583 1093 0.73 17715 3267 20 0.62 2.17 17641.93 382.75 1 in 57
Michigan 141271 1275 0.91 18213 7124 14 0.20 5.04 14145.69 713.34 1 in 71
Massachusetts 134303 672 0.50 9763 9507 17 0.18 7.08 19325.55 1368.01 1 in 52
Missouri 132630 1649 1.26 30340 2177 31 1.44 1.64 21610.03 354.71 1 in 46
Wisconsin 130798 2892 2.26 43195 1372 19 1.40 1.05 22464.49 235.64 1 in 45
Maryland 126819 597 0.47 11286 3957 7 0.18 3.12 20976.80 654.52 1 in 48
Indiana 124059 1419 1.16 19498 3669 13 0.36 2.96 18427.65 544.99 1 in 54
Minnesota 102787 1421 1.40 19199 2126 14 0.66 2.07 18225.83 376.97 1 in 55
Mississippi 100167 609 0.61 10547 3011 12 0.40 3.01 33656.58 1011.71 1 in 30
Iowa 92301 819 0.90 18096 1381 4 0.29 1.50 29254.82 437.71 1 in 34
Oklahoma 90748 1189 1.33 22089 1051 7 0.67 1.16 22933.70 265.61 1 in 44
Washington 89419 609 0.69 9943 2142 -1 -0.05 2.40 11742.65 281.29 1 in 85
Arkansas 86525 746 0.87 16815 1407 16 1.15 1.63 28671.31 466.23 1 in 35
Nevada 81708 526 0.65 8488 1620 11 0.68 1.98 26527.23 525.95 1 in 38
Utah 76225 1068 1.42 18978 476 2 0.42 0.62 23776.04 148.47 1 in 42
Colorado 72533 657 0.91 11657 2060 3 0.15 2.84 12595.30 357.72 1 in 79
Kentucky 72001 1274 1.80 15586 1205 8 0.67 1.67 16116.00 269.72 1 in 62
Kansas 60725 257 0.43 12067 690 2 0.29 1.14 20843.96 236.84 1 in 48
Connecticut 58297 0 0.00 3971 4513 0 0.00 7.74 16351.28 1265.82 1 in 61
Puerto Rico 50375 628 1.26 13283 681 8 1.19 1.35 15773.27 213.23 1 in 63
Nebraska 47403 426 0.91 9283 497 4 0.81 1.05 24505.17 256.93 1 in 41
Idaho 43702 464 1.07 8535 480 6 1.27 1.10 24386.39 267.85 1 in 41
Oregon 34511 348 1.02 5355 571 8 1.42 1.65 8182.35 135.38 1 in 122
New Mexico 30296 296 0.99 3635 890 3 0.34 2.94 14448.48 424.45 1 in 69
Rhode Island 25076 0 0.00 2171 1118 0 0.00 4.46 23670.87 1055.35 1 in 42
South Dakota 23986 464 1.97 7549 248 11 4.64 1.03 27113.27 280.33 1 in 37
North Dakota 23134 440 1.94 7983 271 7 2.65 1.17 30357.11 355.61 1 in 33
Delaware 21125 188 0.90 2399 645 3 0.47 3.05 21694.17 662.38 1 in 46
West Virginia 16481 174 1.07 3953 363 2 0.55 2.20 9221.96 203.12 1 in 108
District of Columbia 15473 50 0.32 980 629 0 0.00 4.07 21924.23 891.25 1 in 46
Montana 14356 501 3.62 5431 186 0 0.00 1.30 13432.16 174.03 1 in 74
Hawaii 12734 133 1.06 2146 153 11 7.75 1.20 8993.75 108.06 1 in 111
New Hampshire 8597 63 0.74 945 442 0 0.00 5.14 6322.67 325.07 1 in 158
Alaska 8217 144 1.78 2010 58 1 1.75 0.71 11232.39 79.28 1 in 89
Wyoming 6365 151 2.43 2068 53 0 0.00 0.83 10997.67 91.58 1 in 91
Maine 5484 18 0.33 650 142 1 0.71 2.59 4079.71 105.64 1 in 245
Vermont 1778 10 0.57 101 58 0 0.00 3.26 2849.41 92.95 1 in 351

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 14998888 829521 5.53 2441921 70588 2.89 379601.2
2 Texas 6472939 787425 12.16 1018898 109709 10.77 223236.5
3 Florida 5376459 714591 13.29 474779 53020 11.17 250327.1
4 New York 11110291 463360 4.17 1864666 19720 1.06 571118.6
5 Georgia 3001381 322169 10.73 391210 29264 7.48 282684.5
6 Illinois 5837501 302782 5.19 1146430 40783 3.56 460667.9
7 Arizona 1488145 220399 14.81 199416 12271 6.15 195425.6
8 North Carolina 3136266 216886 6.92 555134 33148 5.97 299031.4
9 New Jersey 3673074 207576 5.65 531839 11239 2.11 413532.5
10 Tennessee 2936962 199595 6.80 494228 28704 5.81 429809.3
11 Louisiana 2357449 167401 7.10 319696 11227 3.51 507109.8
12 Pennsylvania 2066255 166238 8.05 258450 17603 6.81 161401.1
13 Alabama 1156045 158380 13.70 139676 20734 14.84 235774.3
14 Ohio 3318775 157966 4.76 751764 21398 2.85 283920.5
15 South Carolina 1339758 150891 11.26 284886 20913 7.34 260212.2
16 Virginia 2113878 150583 7.12 363768 17715 4.87 247656.6
17 Michigan 3764274 141271 3.75 653664 18213 2.79 376922.8
18 Massachusetts 4265786 134303 3.15 1297063 9763 0.75 613826.1
19 Missouri 1339556 132630 9.90 226183 30340 13.41 218260.2
20 Wisconsin 1594765 130798 8.20 237405 43195 18.19 273900.1
21 Maryland 1649725 126819 7.69 205273 11286 5.50 272876.7
22 Indiana 1408475 124059 8.81 201495 19498 9.68 209214.1
23 Minnesota 2116038 102787 4.86 893516 19199 2.15 375208.5
24 Mississippi 739010 100167 13.55 116471 10547 9.06 248310.8
25 Iowa 781309 92301 11.81 102419 18096 17.67 247636.0
26 Oklahoma 1247822 90748 7.27 258987 22089 8.53 315347.8
27 Washington 1905759 89419 4.69 291011 9943 3.42 250267.3
28 Arkansas 1064738 86525 8.13 244738 16815 6.87 352816.3
29 Nevada 710210 81708 11.50 72308 8488 11.74 230576.0
30 Utah 852680 76225 8.94 140451 18978 13.51 265967.3
31 Colorado 1396346 72533 5.19 298361 11657 3.91 242474.4
32 Kentucky 1434524 72001 5.02 504302 15586 3.09 321089.8
33 Kansas 531117 60725 11.43 82187 12067 14.68 182306.8
34 Connecticut 1676410 58297 3.48 345426 3971 1.15 470203.4
36 Nebraska 469968 47403 10.09 72614 9283 12.78 242951.9
37 Idaho 314442 43702 13.90 38832 8535 21.98 175463.5
38 Oregon 701903 34511 4.92 91799 5355 5.83 166417.0
39 New Mexico 935401 30296 3.24 123351 3635 2.95 446102.7
40 Rhode Island 797014 25076 3.15 181331 2171 1.20 752353.5
41 South Dakota 198019 23986 12.11 35410 7549 21.32 223836.5
42 North Dakota 632299 23134 3.66 116879 7983 6.83 829721.2
43 Delaware 292458 21125 7.22 32873 2399 7.30 300337.7
44 West Virginia 582705 16481 2.83 103829 3953 3.81 326053.2
45 District of Columbia 397549 15473 3.89 70112 980 1.40 563300.8
46 Montana 354783 14356 4.05 76055 5431 7.14 331952.0
47 Hawaii 302213 12734 4.21 52174 2146 4.11 213446.5
48 New Hampshire 461049 8597 1.86 232025 945 0.41 339078.7
49 Alaska 473256 8217 1.74 73627 2010 2.73 646926.7
50 Wyoming 103429 6365 6.15 17041 2068 12.14 178708.2
51 Maine 449308 5484 1.22 124305 650 0.52 334253.8
52 Vermont 165786 1778 1.07 16125 101 0.63 265687.4

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 1443409 12548 0.88 1149603 79.64 255281 38084 326 0.86 2.64
Andhra Pradesh 719256 6242 0.88 658875 91.61 54400 5981 40 0.67 0.83
Karnataka 640661 10145 1.61 515782 80.51 115574 9286 67 0.73 1.45
Tamil Nadu 619996 5489 0.89 564092 90.98 46120 9784 66 0.68 1.58
Uttar Pradesh 414466 3840 0.94 362052 87.35 46385 6029 52 0.87 1.45
Delhi 290613 2683 0.93 260350 89.59 24753 5510 38 0.69 1.90
West Bengal 270331 3357 1.26 237698 87.93 27439 5194 62 1.21 1.92
Odisha 232713 3326 1.45 202302 86.93 29451 960 15 1.59 0.41
Kerala 229887 8553 3.86 144471 62.84 84497 837 23 2.83 0.36
Telangana 199276 1949 0.99 170212 85.42 27901 1163 10 0.87 0.58
Bihar 187951 1261 0.68 175109 93.17 11926 915 3 0.33 0.49
Assam 186200 756 0.41 152124 81.70 33324 749 14 1.90 0.40
Rajasthan 144030 2184 1.54 121331 84.24 21154 1545 15 0.98 1.07
Gujarat 142699 1302 0.92 122465 85.82 16735 3499 9 0.26 2.45
Madhya Pradesh 135638 1720 1.28 113832 83.92 19372 2434 35 1.46 1.79
Haryana 133878 1302 0.98 120341 89.89 12067 1470 20 1.38 1.10
Chhattisgarh 123324 1924 1.58 93731 76.00 28549 1044 13 1.26 0.85
Punjab 118157 838 0.71 100977 85.46 13577 3603 41 1.15 3.05
Jharkhand 87210 933 1.08 75511 86.59 10956 743 9 1.23 0.85
Jammu and Kashmir 79106 878 1.12 62404 78.89 15460 1242 11 0.89 1.57
Uttarakhand 51481 1419 2.83 41487 80.59 9089 652 4 0.62 1.27
Goa 35328 428 1.23 30033 85.01 4839 456 6 1.33 1.29
Puducherry 29089 337 1.17 23763 81.69 4787 539 5 0.94 1.85
Tripura 26871 322 1.21 21387 79.59 5171 290 4 1.40 1.08
Himachal Pradesh 15851 156 0.99 12341 77.86 3273 212 7 3.41 1.34
Chandigarh 12445 85 0.69 10598 85.16 1673 174 2 1.16 1.40
Manipur 11855 206 1.77 9205 77.65 2576 74 3 4.23 0.62
Arunachal Pradesh 10548 127 1.22 7577 71.83 2953 18 0 0.00 0.17
Meghalaya 6656 200 3.10 4393 66.00 2209 54 0 0.00 0.81
Nagaland 6552 123 1.91 5263 80.33 1221 12 0 0.00 0.18
Ladakh 4521 44 0.98 3354 74.19 1106 61 0 0.00 1.35
Andaman and Nicobar Islands 3884 16 0.41 3649 93.95 182 53 0 0.00 1.36
Sikkim 3093 43 1.41 2399 77.56 649 45 2 4.65 1.45
Dadra and Nagar Haveli and Daman and Diu 3085 14 0.46 2951 95.66 104 2 0 0.00 0.06
Mizoram 2120 17 0.81 1791 84.48 329 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 2172337 107751 393 0.37 4.96 293 42 9162 16969 15.75
Piemonte 739155 36010 279 0.78 4.87 214 12 3277 4166 11.57
Emilia-Romagna 1207777 35743 167 0.47 2.96 200 11 4790 4485 12.55
Veneto 1961128 28363 276 0.98 1.45 174 21 4112 2193 7.73
Lazio 914721 17265 261 1.53 1.89 711 47 7725 933 5.40
Toscana 766448 15391 197 1.30 2.01 99 24 3790 1166 7.58
Campania 620282 13925 401 2.97 2.24 434 40 7042 465 3.34
Liguria 321785 13748 162 1.19 4.27 167 21 1860 1609 11.70
Marche 252602 8084 59 0.74 3.20 23 6 896 991 12.26
Puglia 421383 8083 111 1.39 1.92 226 12 2761 598 7.40
Sicilia 502672 7596 182 2.45 1.51 322 20 3171 317 4.17
P.A. Trento 235824 6141 62 1.02 2.60 16 0 618 406 6.61
Friuli Venezia Giulia 422675 4840 51 1.06 1.15 17 5 828 353 7.29
Abruzzo 205994 4540 42 0.93 2.20 66 6 962 481 10.59
Sardegna 196650 4118 62 1.53 2.09 113 21 2186 155 3.76
P.A. Bolzano 181359 3613 24 0.67 1.99 28 0 604 292 8.08
Umbria 211319 2604 42 1.64 1.23 41 5 634 85 3.26
Calabria 207290 2044 24 1.19 0.99 36 2 558 100 4.89
Valle d’Aosta 29667 1326 0 0.00 4.47 7 0 75 146 11.01
Basilicata 75947 906 49 5.72 1.19 15 2 387 33 3.64
Molise 44376 660 0 0.00 1.49 3 0 128 25 3.79

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 77380 1107 1.45 5867 10 0.17 7.58 9063.36 687.19 1 in 110
Ontario 55522 147 0.27 2993 10 0.34 5.39 3773.97 203.44 1 in 265
Alberta 18357 0 0.00 272 0 0.00 1.48 4159.62 61.63 1 in 240
British Columbia 9381 0 0.00 238 0 0.00 2.54 1835.48 46.57 1 in 545
Manitoba 2108 36 1.74 22 1 4.76 1.04 1530.29 15.97 1 in 653
Saskatchewan 1954 14 0.72 24 0 0.00 1.23 1653.60 20.31 1 in 605
Nova Scotia 1089 0 0.00 65 0 0.00 5.97 1114.12 66.50 1 in 898
Newfoundland and Labrador 276 1 0.36 4 1 33.33 1.45 529.38 7.67 1 in 1889
New Brunswick 201 1 0.50 2 0 0.00 1.00 257.69 2.56 1 in 3881
Prince Edward Island 59 0 0.00 0 0 NaN 0.00 373.04 0.00 1 in 2681
Yukon 15 0 0.00 0 0 NaN 0.00 365.16 0.00 1 in 2739
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68139 4512 6.62
Hong Kong 5108 105 2.06
Guangdong 1840 8 0.43
Zhejiang 1282 1 0.08
Henan 1281 22 1.72
Hunan 1019 4 0.39
Shanghai 1012 7 0.69
Anhui 991 6 0.61
Heilongjiang 948 13 1.37
Beijing 936 9 0.96
Jiangxi 935 1 0.11
Xinjiang 902 3 0.33
Shandong 832 7 0.84
Sichuan 701 3 0.43
Jiangsu 666 0 0.00
Chongqing 585 6 1.03
Shaanxi 413 3 0.73
Fujian 411 1 0.24
Hebei 365 6 1.64
Liaoning 271 2 0.74
Inner Mongolia 266 1 0.38
Guangxi 260 2 0.77
Tianjin 241 3 1.24
Yunnan 211 2 0.95
Shanxi 204 0 0.00
Hainan 171 6 3.51
Gansu 170 2 1.18
Jilin 157 2 1.27
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 22562.17 639.93 1 in 44
India 4891.24 76.01 1 in 204
Brazil 23444.02 697.50 1 in 43
Russia 8295.25 146.39 1 in 121
Colombia 17284.43 541.19 1 in 58
Peru 25538.20 1013.65 1 in 39
Argentina 17863.52 469.73 1 in 56
Spain 16929.53 687.66 1 in 59
Mexico 5866.51 610.53 1 in 170
South Africa 11983.71 298.62 1 in 83
France 9397.06 480.24 1 in 106
United Kingdom 7264.51 638.28 1 in 138
Chile 25954.07 715.73 1 in 39
Iran 5767.85 329.55 1 in 173
Iraq 9823.13 244.24 1 in 102
Bangladesh NA NA 1 in NA
Saudi Arabia 10200.27 147.24 1 in 98
Turkey 3997.20 103.75 1 in 250
Italy 5336.49 594.71 1 in 187
Philippines 3044.14 54.13 1 in 329

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
Los Angeles California 274565 6647 2.42
Miami-Dade Florida 172205 3334 1.94
Cook Illinois 148381 5256 3.54
Harris Texas 147808 2626 1.78
Maricopa Arizona 143183 3426 2.39
Dallas Texas 83178 1148 1.38
Broward Florida 77934 1420 1.82
Queens New York 73131 7263 9.93
Kings New York 69933 7339 10.49
Clark Nevada 68851 1409 2.05
Riverside California 59991 1231 2.05
Bexar Texas 58678 1332 2.27
San Bernardino California 56275 962 1.71
Orange California 54640 1286 2.35
Bronx New York 53353 4958 9.29
Tarrant Texas 52100 734 1.41
San Diego California 48436 803 1.66
Nassau New York 47246 2201 4.66
Palm Beach Florida 47079 1394 2.96
Suffolk New York 46842 2011 4.29
Hillsborough Florida 42891 671 1.56
Orange Florida 40940 481 1.17
Westchester New York 38475 1454 3.78
Philadelphia Pennsylvania 37502 1815 4.84
Wayne Michigan 35863 2995 8.35
New York New York 33863 3182 9.40
Salt Lake Utah 33599 258 0.77
Kern California 32443 386 1.19
Hidalgo Texas 32406 1740 5.37
Shelby Tennessee 31600 487 1.54
Duval Florida 30985 429 1.38
Milwaukee Wisconsin 30318 545 1.80
Prince George’s Maryland 30004 830 2.77
Travis Texas 29799 429 1.44
Mecklenburg North Carolina 29454 361 1.23
Fresno California 28975 399 1.38
Hennepin Minnesota 28645 944 3.30
Middlesex Massachusetts 28243 2166 7.67
Fulton Georgia 28096 579 2.06
Gwinnett Georgia 28074 414 1.47
Franklin Ohio 28014 630 2.25
Davidson Tennessee 27185 316 1.16
Pima Arizona 25925 627 2.42
El Paso Texas 25569 534 2.09
St. Louis Missouri 25110 819 3.26
Suffolk Massachusetts 24987 1142 4.57
Sacramento California 23076 430 1.86
King Washington 23022 767 3.33
Montgomery Maryland 22976 849 3.70
Cameron Texas 22946 953 4.15
Bergen New Jersey 22734 2046 9.00
Pinellas Florida 22509 763 3.39
Marion Indiana 22282 769 3.45
Santa Clara California 21840 344 1.58
Alameda California 21708 426 1.96
Essex New Jersey 21330 2129 9.98
Fairfax Virginia 21282 590 2.77
Oakland Michigan 21107 1207 5.72
Hudson New Jersey 20897 1519 7.27
Utah Utah 20831 61 0.29
Lee Florida 20780 474 2.28
Nueces Texas 20689 419 2.03
Jefferson Alabama 20666 354 1.71
San Joaquin California 20485 470 2.29
Essex Massachusetts 20465 1296 6.33
Polk Florida 20425 531 2.60
Fairfield Connecticut 20400 1423 6.98
Cobb Georgia 20010 429 2.14
Middlesex New Jersey 19904 1430 7.18
Passaic New Jersey 19237 1256 6.53
DeKalb Georgia 19128 371 1.94
Providence Rhode Island 18927 0 0.00
Oklahoma Oklahoma 18870 197 1.04
Baltimore Maryland 18354 634 3.45
DuPage Illinois 18209 567 3.11
Wake North Carolina 18155 257 1.42
Cuyahoga Ohio 17910 665 3.71
Union New Jersey 17870 1357 7.59
Tulsa Oklahoma 17820 168 0.94
Jefferson Louisiana 17764 571 3.21
Lake Illinois 17520 493 2.81
Contra Costa California 17159 211 1.23
Douglas Nebraska 17075 195 1.14
Stanislaus California 16737 372 2.22
Jefferson Kentucky 16714 314 1.88
Fort Bend Texas 16603 293 1.76
Polk Iowa 16484 271 1.64
Tulare California 16399 265 1.62
Out of GA Georgia 16147 163 1.01
Richmond New York 16137 1086 6.73
Charleston South Carolina 16026 267 1.67
Rockland New York 16016 677 4.23
Baltimore City Maryland 15954 486 3.05
Richland South Carolina 15719 249 1.58
Collin Texas 15568 152 0.98
District of Columbia District of Columbia 15519 631 4.07
East Baton Rouge Louisiana 15307 443 2.89
Macomb Michigan 15107 1032 6.83
Hartford Connecticut 14989 1439 9.60
Greenville South Carolina 14958 313 2.09

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc